Skip to main content

Machine Learning Over Time-Series: A toolkit for time-series analysis

Project description

Machine Learning On Time-Series (MLOTS)


Build Status

mlots provides Machine Learning tools for Time-Series Classification. This package builds on (and hence depends on) scikit-learn, numpy, tslearn, annoy, and hnswlib libraries.

It can be installed as a python package from the PyPI repository.

Installation

Install mlots by running:

pip install mlots

After installation, it can be imported to a python environment to be employed.

import mlots

Contribute

Support

If you are having issues, please let us know.

License

The project is licensed under the MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mlots-0.0.4.1.2.tar.gz (8.6 kB view details)

Uploaded Source

Built Distribution

mlots-0.0.4.1.2-py3-none-any.whl (13.1 kB view details)

Uploaded Python 3

File details

Details for the file mlots-0.0.4.1.2.tar.gz.

File metadata

  • Download URL: mlots-0.0.4.1.2.tar.gz
  • Upload date:
  • Size: 8.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for mlots-0.0.4.1.2.tar.gz
Algorithm Hash digest
SHA256 40858cccad6312df5557d35eda5fd20ac0962aa623c177dfcd1797ae1336172f
MD5 7a365f9f841593fa34e72839ee13e6aa
BLAKE2b-256 98d58541d380671cf5574ebe06974dcb2dce0dc55f004df62c0ccd3bb72b0efe

See more details on using hashes here.

File details

Details for the file mlots-0.0.4.1.2-py3-none-any.whl.

File metadata

  • Download URL: mlots-0.0.4.1.2-py3-none-any.whl
  • Upload date:
  • Size: 13.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for mlots-0.0.4.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 86e1b17770e7059c25108f8f0635f157c74539062ac8b74e6f378bd245740021
MD5 7d7dd4e2b0b29aa8fd9f27ed70d75de2
BLAKE2b-256 f72e86eb523fb1d302d1e407e262d072a8925eed5cd14507f4af90e2cd05277f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page